Cluster analysis is performed using pairwise distance information and a random partition distribution. The method is implemented for two random partition distributions. It draws samples and then obtains and plots clustering estimates. An implementation of a selection algorithm is provided for the mass parameter of the partition distribution. Since pairwise distances are the principal input to this procedure, it is most comparable to the hierarchical and k-medoids clustering methods. The method is Dahl, Andros, Carter (2022+) <doi:10.1002/sam.11602>.
Version: | 0.3.6 |
Depends: | R (≥ 4.2.0) |
Suggests: | salso (≥ 0.3.0) |
Published: | 2022-12-20 |
Author: | David B. Dahl caviarpd author details |
Maintainer: | David B. Dahl <dahl at stat.byu.edu> |
BugReports: | https://github.com/dbdahl/fangs/issues |
License: | MIT + file LICENSE | Apache License 2.0 |
NeedsCompilation: | yes |
SystemRequirements: | Cargo (>= 1.56) for installation from source: see INSTALL file |
Materials: | NEWS INSTALL |
CRAN checks: | caviarpd results |
Reference manual: | caviarpd.pdf |
Package source: | caviarpd_0.3.6.tar.gz |
Windows binaries: | r-devel: caviarpd_0.3.6.zip, r-release: caviarpd_0.3.6.zip, r-oldrel: not available |
macOS binaries: | r-release (arm64): caviarpd_0.3.6.tgz, r-oldrel (arm64): not available, r-release (x86_64): caviarpd_0.3.6.tgz, r-oldrel (x86_64): not available |
Old sources: | caviarpd archive |
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